• Title/Summary/Keyword: 지능형 가상 비서

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"Hey Alexa, Would You Create a Color Palette?" UX/UI Designers' Perspectives on Using Natural Language to Interact with Future Intelligent Design Assistants ("알렉사, 색상 팔레트를 만들어줄 수 있어?" 지능형 디자인 비서와 자연어로 협업을 수행할 UX/UI 디자이너의 생각)

  • Bertao, Renato Antonio;Joo, Jaewoo
    • Journal of the Korea Convergence Society
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    • v.12 no.11
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    • pp.193-206
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    • 2021
  • Artificial Intelligence (AI) has been inserted into people's lives through Intelligent Virtual Assistants (IVA), like Alexa. Moreover, intelligent systems have expanded to design studios. This research delves into designers' perspectives on developing AI-based practices and examines the challenges of adopting future intelligent design assistants. We surveyed UX/UI professionals in Brazil to understand how they use IVAs and AI design tools. We also explored a scenario featuring the use of Alexa Sensei, a hypothetical voice-controlled AI-based design assistant mixing Alexa and Adobe Sensei characteristics. The findings indicate respondents have had limited opportunities to work with AI, but they expect intelligent systems to improve the efficiency of the design process. Further, majority of the respondents predicted that they would be able to collaborate creatively with AI design systems. Although designers anticipated challenges in natural language interaction, those who already adopted IVAs were less resistant to the idea of working with Alexa Sensei as an AI design assistant.

An User Experience of Proactive Intelligent Personal Assistant: Focusing on Google 'Nest Hub Max' (능동적 지능형 가상 비서의 사용자 경험 연구 : Google의 'Nest Hub Max'를 중심으로)

  • Cho, Soo Kyung;Kim, Jae-Yeop
    • Journal of Digital Convergence
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    • v.18 no.9
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    • pp.379-389
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    • 2020
  • This is a qualitative study about Google 'Nest Hub Max' that displays proactive intelligent personal assistant. Following the step of grounded theory, an in-depth interview for 6 users who had used this device for a month was taken. 186 concepts were discovered, categorized as 11 top-categories and 24 sub-categories. Paradigm diagram, considering axis-coding, was made and it have been narrowed down to 'Usage patterns' of proactive IPA, considering selective coding aspects. 'Usage patterns' were divided to passive and active user. Thus, neither passive user nor active user was satisfied about device and proactive IPA. This study is meaningful that it constructed basic data about the user experience of proactive IPA on this device. It will support the device or service that consists proactive IPA in the future.

A study on iNterface and Interaction using Chatgpt System in Virtual Reality Space (가상현실 공간에서의 ChatGPT 시스템을 활용한 인터페이스와 상호작용에 대한 연구)

  • Ju-Sang Lee;Hyo-Seung Lee;Woo-Jun Choi
    • The Journal of the Korea institute of electronic communication sciences
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    • v.18 no.6
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    • pp.1285-1290
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    • 2023
  • Although the environment in virtual space (hereinafter referred to as VR) has the problem of being difficult to access compared to existing PCs and smartphones, it has the advantage of being more realistic and providing endless experiences and functions compared to existing environments. In this VR environment, there is a need to develop technologies that help people handle tasks more conveniently in the virtual world by studying interfaces and interactions using ChatGPT, a recently popular AI technology. The ChatGPT interface and interaction in the VR environment are also studied to provide personalized services. Through this, users can choose the interface that suits them and the secretary interface can also provide customized services optimized for users. Accordingly, in this study, we design a convenient interaction method by linking the ChatGPT system in a VR environment and use it as a previous study for the development of an AI assistant.

통합기술수용이론(UTAUT)을 이용한 챗봇(chatbot)의 수용 결정요인에 대한 탐색적 연구

  • Min, Su-Jin;Kim, Heon-Jin;Song, Geun-Hye
    • Proceedings of the Korea Technology Innovation Society Conference
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    • 2017.05a
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    • pp.623-643
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    • 2017
  • 최근 인공지능 기술이 발달하면서 챗봇이 글로벌 IT기업들에게 새로운 IoT플랫폼으로 주목받고 있다. 챗봇이란 대화형 인터페이스 상에서 규칙 또는 인공지능(AI)을 이용해 사용자와 상호작용(interaction)을 하는 서비스를 지칭한다. 챗봇은 현재 간단한 정보검색 및 가상비서 서비스를 제공하는 수준이지만, 향후 IoT와 O2O 영역의 핵심적인 인공지능 플랫폼으로 부상할 전망이다. 챗봇은 스마트폰 디바이스와 어플리케이션을 기반으로 빠르게 확산되어 핵심 플랫폼의 지위를 차지할 것으로 예상된다. 그러나 챗봇 사용자의 수용행태에 관한 학술적 연구는 미비한 상황이다. 이에 본 연구는 기존의 기술수용이론(TAM)보다 수용의도에 대한 설명력이 높다고 검증된 통합기술수용이론(UTAUT)을 적용하여 챗봇의 사용자 수용행동에 관한 모델을 구축하였다. 구체적으로, 수용의도의 결정요인인 성과기대, 예상노력, 사회적영향, 촉진조건이 수용의도에 긍정적인 영향을 미칠 것으로 예상하였다. 이 과정에서 수용의도 결정요인과 수용의도 간의 관계를 성별, 연령, 개인혁신성이 조절할 것으로 보았다. 본 연구는 챗봇의 수용에 영향을 미치는 결정요인과 조절변인의 효과를 검증하여 실무적 시사점을 제공하고자 한다.

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